Services

Our services, in plain English

From strategy workshops to full custom AI builds. Pick the service that fits where you are. We'll tell you honestly if you don't need us yet.

An AI strategy that survives contact with reality

We help leadership teams pick the right two or three AI bets, kill the wrong ones, and build a roadmap that operations can actually execute.

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Generative AI, beyond the chatbot

Most companies are stuck at 'we deployed a chatbot'. We help you find the GenAI use cases that move real numbers — and build them.

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LLM applications built around your data and workflows

We design and ship custom LLM applications — fine-tuned models, RAG systems, multi-agent workflows. Production-grade, with evals from day one.

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RAG that doesn't hallucinate, doesn't drift

Retrieval-augmented generation done properly. Hybrid retrieval, re-ranking, evals, citations, and an architecture that holds up as your corpus grows.

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Agents that take actions, not agents that take meetings

We design and build production AI agents — for sales, ops, internal support, and research. Tool-using, evaluable, with the right human-in-the-loop checkpoints.

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When the right answer isn't an LLM

We build classical ML systems for forecasting, classification, recommendation, fraud, and risk — production-ready, monitored, retrainable.

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Vision systems that work in your actual environment

Object detection, defect inspection, OCR, document understanding, video analytics. We build computer vision systems that perform under real-world conditions.

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NLP work that isn't 'just call an LLM'

Classification, entity extraction, summarisation, sentiment, topic modelling. We pick the right tool — sometimes a small fine-tuned model, sometimes a big LLM.

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AI fails on bad data — we fix the data first

Most AI projects fail at the data layer, not the model layer. We design and build the data pipelines, quality controls, and governance that AI projects actually need.

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Getting models to production is the easy bit

Training pipelines, model registries, deployment, monitoring, drift detection, retraining. The operational backbone so your models keep working after launch.

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Automation that handles the messy edges humans used to

Process automation that uses AI for the parts traditional RPA can't handle: unstructured documents, judgement calls, natural language inputs.

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Bring AI into the systems your team already uses

Integrating AI into Salesforce, ServiceNow, SAP, your CRM, your data warehouse. Practical integration work, not green-field rebuilds.

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AI training that doesn't waste your team's afternoon

Workshops and training for execs, product teams, and engineers. From a half-day strategy session to a multi-week applied LLM bootcamp.

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An honest look at your AI maturity, data, and risk

A four-week audit of your AI capability — data, infrastructure, governance, talent, and current AI usage. Scorecard, gap analysis, recommendations.

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AI governance you can actually enforce

We help companies stand up AI governance that works at the build layer — policies, risk frameworks, model approval, monitoring, EU AI Act compliance prep.

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End-to-end AI product development

When you need a full product, not a model. We design and build complete AI-powered applications — front-end to model to operations.

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Senior ML engineers on demand

Embed senior AI and ML engineers into your team for three to twelve months. No bench juniors, no agency layer. Specific people, specific skills.

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Chatbots that actually help

Custom chatbots for support, sales, and internal use. Built on the right model, grounded in your data, with handoff, eval, and cost guardrails.

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Voice agents for inbound, outbound, and assist

Production voice agents — latency-tuned, barge-in handled, with the right humans in the loop. For support, scheduling, sales, and ops.

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Fine-tuning where it actually pays back

When fine-tuning beats RAG or prompting — for style, structure, latency, or cost at scale. Data prep, training, evaluation, lifecycle.

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Semantic, hybrid, re-ranked search done properly

Replacing or augmenting traditional search with semantic and hybrid retrieval. With re-ranking, freshness, and honest views on when this beats Elasticsearch.

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Build the eval set before you build the system

Custom eval harnesses for LLM applications — golden sets, regression tests, production eval, model comparison. Eval-first AI delivery.

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Find the failure modes before your users do

Adversarial testing of LLM applications and agents — prompt injection, data leakage, jailbreaks, tool abuse, hallucination under stress.

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Cut LLM spend without hurting quality

Audit your LLM costs and find the savings: model selection, caching, prompt design, routing, batching. Typical engagements pay back in weeks.

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OpenAI to Claude, Claude to open source, and back

We migrate AI applications between models and providers without breaking quality — with structured eval-driven cutover plans.

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A senior AI leader, two days a week

Embedded fractional CAIO for companies that need senior AI leadership but not a full-time hire. Strategy, vendor decisions, hiring, governance.

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Help buying the right AI, on the right terms

Independent help evaluating AI vendors, scoring proposals, and negotiating contracts — without the conflicts you'd get from a reseller.

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Prompts as a versioned, evaluated asset

Treat prompts like code — versioned, tested, governed. We help teams stand up the workflow, the eval, and the prompt library.

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Annotation for the projects vendors won't take

Specialist annotation for domain-heavy data — clinical, legal, financial, technical. With QA, IAA, and a labelling guideline that survives team turnover.

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Ready to ship AI, not slides?

Senior-only delivery. Fixed-scope pilots. Your data stays yours.

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